Mixed constrained image filter design using particle swarm optimization

Zhiguo Bao*, Takahiro Watanabe

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This paper describes evolutionary image filter design for noise reduction using particle swarm optimization (PSO), where mixed constraints on the circuit complexity, power and signal delay are optimized. First, the evaluating values about correctness, complexity, power and signal delay are introduced to the fitness function. Then PSO autonomously synthesizes a filter. To verify the validity of our method, an image filter for noise reduction is synthesized. The performance of resultant filter by PSO is similar to that of Genetic Algorithm (GA), but the running time of PSO is 10% shorter than that of GA.

本文言語English
ホスト出版物のタイトルProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
ページ230-235
ページ数6
出版ステータスPublished - 2010 12 1
イベント15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan
継続期間: 2010 2 42010 2 6

出版物シリーズ

名前Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other15th International Symposium on Artificial Life and Robotics, AROB '10
国/地域Japan
CityBeppu, Oita
Period10/2/410/2/6

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用

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